Scaling Campus ERP to 100,000 Concurrent Student Sessions During Exam Result Release

How OHO TECH architected a high-concurrency educational results pipeline utilizing edge-computed HTML streams, Redis cache tiers, and serverless background PDF compilers.

OHO TECH Engineering Team

Systems Architecture Group

ARCHITECTURAL INVARIANTS & DESIGN PRINCIPLES

Grade sheet release days create 50x traffic spikes within a 10-minute window; database ingress must be protected with edge caches.

Static grade sheet templates compile ahead of time; student data hydrates via signed edge tokens.

Dynamic PDF certificate generation is offloaded to asynchronous background queues with pre-warmed serverless workers.

Rate limiting by IP and student roll number prevents automated scraping bots from overwhelming auth endpoints.

1. Deconstructing the 100K Concurrent Spike Phenomenon

Why traditional monoliths crash when semester results go live

When a university announces semester grades at 4:00 PM, 60,000 students and their parents refresh the portal simultaneously. Traditional monolithic servers crash within seconds due to database connection pool exhaustion.

By leveraging Next.js Server Components at the edge paired with distributed Redis cache clusters, 98% of result requests are served directly from edge memory in under 40 milliseconds without touching the primary relational database.

ENGINEERING SUMMARY & VERDICT

Decoupled edge caching and read replicas convert crushing exam release traffic spikes into a smooth, instantaneous student user experience.

#Next.js 16#Edge CDN#Redis#High Concurrency#Cloudflare Workers#PostgreSQL

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